Shreyank Nayak

Product Manager

Bengaluru, Karnataka, India18 yrs 3 mos experience

Key Highlights

  • Led modernization of petabyte-scale data warehouse on GCP.
  • Developed self-service AI platform reducing customer touch points.
  • Managed cross-functional teams for enterprise data strategies.
Stackforce AI infers this person is a Data Engineering leader with expertise in Fintech and SaaS sectors.

Contact

Skills

Core Skills

Data EngineeringEngineering LeadershipData ManagementCloud Computing

Other Skills

AWS GlueAmazon EC2Amazon Elastic MapReduce (EMR)Amazon S3Amazon SQSAmazon Simple Notification Service (SNS)Amazon Web Services (AWS)Analytical and Operational reporting use casesApache AirflowApache HiveApache KafkaApache NiFiApache PinotApache SparkApache Spark Streaming

About

Engineering leader with 17+ years of diverse experience across the data engineering landscape. Over 6 years of experience managing and scaling cross-functional, full-stack data engineering teams.Strong exposure to architecting data products, platforms, and solutions covering data ingestion, transformation, serving, data lakes/warehousing, data quality, governance, and security in multi-cloud (GCP & AWS) and hybrid on-prem/cloud environments. Integrating Generative AI solutions to enhance productivity and enable self-service capabilities.Proven track record of end-to-end ownership of complex engineering initiatives, strategic planning, roadmap development, prioritization, architecture, hiring, and team management.Exposure to working with senior management to deliver critical business outcomes. Experienced in leading multi-year, transformational, cross-geography programs that have had significant $ impact.Strong capability in building, mentoring, and growing high-performing engineering teams composed of architects, managers, and engineers.Key strength & focus areas: Enterprise Data strategy, Data Management, Data Architecture, Data Governance/Security, Cloud Native & Modernization - architecture design and strategy. Conversational/Gen AI enablement. Unified ingestion platforms. Data lake, data warehouse enablement. Data BI/Analytics solution, Experimentation support, Analytical and Operational reporting use cases. Business and senior stakeholder communication. Microservices architecture, Full stack, data driven platform solutions.Engineering Leadership & Management: Executive stakeholder engagement, product mindset, people leadership, scaling engineering teams, driving roadmap, strategy, and prioritization.Domain Expertise: Deep experience in Financial Services, Payments, Banking, Digital Transformation, and E-commerce sectors.

Experience

Linkedin

Manager Data Engineering

Jan 2024Present · 2 yrs 2 mos · Bengaluru, Karnataka, India

Big DataEngineering LeadershipStrategic LeadershipData WarehousingApache HiveTrino+4

Paypal

Sr. Data Engineering Manager (M2)

Sep 2021Dec 2023 · 2 yrs 3 mos

  • Managing a portfolio to modernize & unify PayPal's data assets across subsidiaries into a single unified source of truth for powering Enterprise business use cases across the organization.
  • Planning & prioritizing business requests, driving trade offs: long terms vision with tactical short term gains. Manage cross matrix'ed set of product, engineering and business stakeholders.
  • Define roadmap, strategy to manage entire lifecycle of data management from data acquisition, transform, harmonize, unify, govern and archival policy, architect for modernizing PayPal subsidiary data on cloud. Ensure seamless unified data governance, quality and handling of PII data. Hired & managed multiple teams of engineers, architects.
  • Successfully managed the modernization of petabyte scale Enterprise Data Warehouse, platform and solutions from on-prem Hadoop to GCP cloud within 4 quarters. Planned and managed cost optimization initiatives which resulted in significant $$ savings for the data org.
  • Envisioned a 'Unified Ingestion Platform' strategy. Managed core engineering team which designed, developed and productionalized a multi tenant solution resulting in 5X improvement in turn around times for new business use cases onboarding. Ensured scalable solution for processing peta byte data, improved data quality all round (achieving 100% data completeness due to robust design), integrated compliance across the data lifecycle across multiple tenants.
  • Architect and modernize different business use cases catering to high volume, low latency use cases to high volume batch based analytical use cases. Managed and designed streaming framework to manage PII and other sensitive data handling at scale.
Data ManagementPeople ManagementData EngineeringGoogle Cloud Platform (GCP)Data StrategiesData Warehousing+27

Nike

Data Engineering Manager

Nov 2020Aug 2021 · 9 mos

  • Strategize and managed multiple data products to support Nike's Customer Direct Offense.
  • Hired and managed multiple cross functional teams to architect event driven / real time systems.
  • Pioneered teams that built and implemented real time data integration pipelines, replacing commercial technology leading to significant $$ savings.
  • Managed teams that pioneered evaluation and adoption of new technologies (Databricks, Snowflake, Delta Lake, Apache Ranger, Apache Nifi, Redshift, EMR) on the cloud platform.
Apache NiFiData StrategiesAmazon Web Services (AWS)Enterprise Data ManagementApache Spark StreamingSolution Architecture+23

Deloitte u.s. india offices

2 roles

Manager Data Engineering & Analytics

Promoted

Sep 2016Nov 2020 · 4 yrs 2 mos

  • Consulting Fortune 500 clients in financial, pharma and banking space to modernize existing legacy platform (on-prem, traditional) data workloads & BI platforms to cloud & distributed platforms. Managing and leading conversations on technology evaluation, cost vs ROI benefits.
  • Driving emerging technology portfolios such IOT, conversational AI, multi cloud and data in motion.
  • Managed cloud implementation, modernization, conversational ai SAAS platform development for marquee clients.
  • Managed a team of full stack engineers to build a proprietary self service conversational AI product -platform 'ChatX'. The platform was deployed for a major pharma client, allowing business users to build chatbots in a self service manner and reducing need for human front line customer touch point.
  • Hiring and managing teams of architects & engineers, cross functional full stack engineers.
  • Driving Pre Sales - Go to Market strategy, architectural artifacts & POC for client demos. Leading conversations on modernization, working on proposals, creating presentations for senior leadership presentations.
  • Built the Google Cloud practise, Data/BI Analytics and Conversational AI capability.
SQLData ManagementData EngineeringSnowflakeContinuous Integration and Continuous Delivery (CI/CD)Google Cloud Platform (GCP)+28

Technical Lead

Sep 2013Aug 2016 · 2 yrs 11 mos

  • Led small teams to deliver Data / BI and Analytics platforms, data warehousing solutions and decision analytics systems for Banking and Financial services clients.
  • Grooming junior developers on best practices.
  • Worked on pre sales activities Banking / FSI focused, contributed to solution architecture, planning and strategy. Developed market facing solutions to be demo'ed to clients.
  • Researched and published point of view on upcoming changes in enterprise data management space.
  • Led the BI Visualization capabilities within the Data and Analytics practices.
Continuous Integration and Continuous Delivery (CI/CD)Google Cloud Platform (GCP)Data StrategiesAmazon Web Services (AWS)Enterprise Data ManagementGit+20

Ibm global business services

Senior Data Engineer

Aug 2010Aug 2013 · 3 yrs

  • IBM Certified Cognos Architect & SME. Worked for cross sector clients.
  • Architecting and implementing the best practices for scalable data warehouse, data analytics systems for Fortune 500 clients.
  • Implemented several green field and migration projects for multiple clients. Architected, developed, designed & orchestrated data pipelines, data marts and data analytics warehouse. Data modelling for meeting different use cases. Enabling last mile by creating visualization reporting (BI reporting & OLAP based reporting).
Data AnalyticsSQLData ManagementData EngineeringData WarehousingCognos+3

Tata consultancy services

Data Engineer

Sep 2007Aug 2010 · 2 yrs 11 mos

  • Designed and developed ETL / data pipelines for building enterprise data marts for use as a decision support system for enterprise business of Fortune 50 pharma client.
  • Cross functional areas - Supply Chain Optimization, Financial Regulatory reporting, Advanced planning and forecasting. Designed and developed enterprise data models (using Cognos Framework Manager), enabled self service reporting for 1000+ users.
  • Tuned SQL transformation pipelines at scale, reducing compute time and improving resource utilization.
  • Designed and developed BI reports used for executive reporting and decision making for business users in supply chain, marketing and sales.
  • Developed PL/SQL scripts and tuned SQL at scale for supporting complex calculation for advance planning, supply chain metrics reporting.
  • Designed and developed OLAP cube to be used as a platform for self service and canned BI reporting.
SQLData ManagementData EngineeringData WarehousingCognosCommunication+3

Education

Visvesvaraya Technological University

Bachelor of Engineering (B.E.) — Electronics and Communication Engineering

Jan 2003Jan 2007

Stackforce found 100+ more professionals with Data Engineering & Engineering Leadership

Explore similar profiles based on matching skills and experience